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2 дня назад

Senior Data Engineer (Fintech)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
NZ
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

Senior Data Engineer (Fintech): Developing, maintaining, and modernizing enterprise data pipelines and reporting capabilities with an accent on financial data modeling, SSRS/Power BI visualization, and cloud platform governance. Focus on providing technical leadership, mentoring the team, and ensuring the reliability and security of data products for investment management clients.

Location: Auckland (Onsite)

Company

hirify.global is a global financial services provider offering fund administration and middle office solutions to investment managers worldwide.

What you will do

  • Develop and maintain reusable data models for financial reporting and analytics.
  • Design and build advanced SSRS reports and Power BI dashboards for client-facing data products.
  • Ensure data security, reliability, and accuracy through automated testing and governance.
  • Provide technical leadership, mentor direct reports, and manage team workload and delivery priorities.
  • Lead production support for data processing failures and platform resilience improvements.
  • Collaborate with stakeholders to translate complex requirements into manageable technical deliverables.

Requirements

  • Advanced SQL skills for root cause analysis and complex data processing.
  • Proven experience with SSRS and Power BI for reporting and visualization.
  • Strong background in SQL Server, Snowflake, and dbt within enterprise environments.
  • Experience managing cloud data platforms, including security controls and performance optimization.
  • Demonstrated ability to mentor developers and provide technical direction in a senior role.
  • Excellent communication skills for liaising with internal and external stakeholders.

Nice to have

  • Experience with Azure Ecosystem, Azure DevOps, and Azure Data Factory.
  • Background in ETL/ELT techniques and data migration.
  • Prior experience in the investment or financial services industry.

Culture & Benefits

  • Opportunity to work within a large, rapidly expanding global financial organization.
  • Competitive remuneration package based on experience.
  • Access to professional training and career development programs.
  • Commitment to equal opportunity and corporate social responsibility.

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